diff --git a/.gitattributes b/.gitattributes
index 55cab133643a2a73e083373d2106533678d0edd5..4d5c1151528ce47c522f20b14bdfa2d42c6e2773 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -56,3 +56,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+esc50_train/data/wav_codec_ESPnet.1.ark filter=lfs diff=lfs merge=lfs -text
+esc50_train/data/wav_codec_ESPnet.2.ark filter=lfs diff=lfs merge=lfs -text
+esc50_train/data/wav_codec_ESPnet.3.ark filter=lfs diff=lfs merge=lfs -text
+esc50_train/data/wav_codec_ESPnet.4.ark filter=lfs diff=lfs merge=lfs -text
+esc50_train/data/wav_codec_ESPnet.5.ark filter=lfs diff=lfs merge=lfs -text
+esc50_train/data/wav_codec_ESPnet.6.ark filter=lfs diff=lfs merge=lfs -text
+esc50_train/data/wav_codec_ESPnet.7.ark filter=lfs diff=lfs merge=lfs -text
+esc50_train/data/wav_codec_ESPnet.8.ark filter=lfs diff=lfs merge=lfs -text
diff --git a/esc50_dev/data.json b/esc50_dev/data.json
new file mode 100644
index 0000000000000000000000000000000000000000..d58eb1cf927bcb9d5258cdcddcac773d5b92d2aa
--- /dev/null
+++ b/esc50_dev/data.json
@@ -0,0 +1,335 @@
+{
+    "task": "tts",
+    "vocabularies": [
+        "dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/g2p_token_list",
+        "dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list"
+    ],
+    "data_files": [
+        "dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/index_files/text,g2p,text",
+        "dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/index_files/utt2spk,spk,text",
+        "dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/index_files/wav.scp,codec,kaldi_ark"
+    ],
+    "num_examples": 320,
+    "examples": [
+        "2-102414-A-17",
+        "2-102414-F-17",
+        "2-103423-A-3",
+        "2-103427-A-3",
+        "2-104952-A-16",
+        "2-106072-A-36",
+        "2-108760-A-14",
+        "2-108760-B-14",
+        "2-108763-A-9",
+        "2-108767-A-9",
+        "2-109371-A-16",
+        "2-109505-A-21",
+        "2-112213-A-39",
+        "2-114609-A-28",
+        "2-117615-C-48",
+        "2-117616-A-48",
+        "2-117795-A-3",
+        "2-118625-A-30",
+        "2-118817-A-32",
+        "2-119102-A-21",
+        "2-119161-B-8",
+        "2-119161-C-8",
+        "2-120218-B-30",
+        "2-121909-A-35",
+        "2-122067-A-45",
+        "2-128465-A-43",
+        "2-131943-A-38",
+        "2-135860-A-49",
+        "2-141563-A-39",
+        "2-141681-A-36",
+        "2-151079-A-20",
+        "2-154688-A-31",
+        "2-165801-A-48",
+        "2-166644-B-2",
+        "2-173559-A-39",
+        "2-18766-B-12",
+        "2-188822-A-40",
+        "2-188822-C-40",
+        "2-209471-A-25",
+        "2-209474-A-25",
+        "2-30322-B-12",
+        "2-32834-A-4",
+        "2-37806-C-40",
+        "2-39443-B-19",
+        "2-43802-A-42",
+        "2-50668-B-41",
+        "2-52085-A-4",
+        "2-54086-A-43",
+        "2-54961-A-23",
+        "2-59241-A-35",
+        "2-59566-A-46",
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+        "2-61618-A-46",
+        "2-66205-A-23",
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+        "2-68391-B-41",
+        "2-69131-B-5",
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+        "3-100024-A-27",
+        "3-101381-A-33",
+        "3-102583-B-49",
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+        "3-103050-A-19",
+        "3-103401-B-33",
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+        "3-105236-A-7",
+        "3-107219-A-1",
+        "3-108677-A-18",
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+        "3-112397-A-9",
+        "3-112522-A-27",
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+        "3-152020-C-36",
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+        "3-155578-A-14",
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+        "5-235956-A-47",
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+        "5-237499-A-4",
+        "5-242490-A-14",
+        "5-243450-A-14",
+        "5-243459-A-14",
+        "5-244315-B-6",
+        "5-244327-A-34",
+        "5-245040-A-35",
+        "5-250026-B-30",
+        "5-251489-A-24",
+        "5-251963-A-47",
+        "5-253094-D-49",
+        "5-259640-A-29",
+        "5-260164-A-23",
+        "5-262957-A-22",
+        "5-263775-B-26"
+    ]
+}
\ No newline at end of file
diff --git a/esc50_dev/data/wav_codec_ESPnet.1.ark b/esc50_dev/data/wav_codec_ESPnet.1.ark
new file mode 100644
index 0000000000000000000000000000000000000000..f5a624db22cf010368342772ede9e2d1ac571ba3
Binary files /dev/null and b/esc50_dev/data/wav_codec_ESPnet.1.ark differ
diff --git a/esc50_dev/data/wav_codec_ESPnet.1.scp b/esc50_dev/data/wav_codec_ESPnet.1.scp
new file mode 100644
index 0000000000000000000000000000000000000000..230f86091d9635f18255344635a070e3f0e39cc3
--- /dev/null
+++ b/esc50_dev/data/wav_codec_ESPnet.1.scp
@@ -0,0 +1,40 @@
+2-102414-A-17 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:14
+2-102414-F-17 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:10035
+2-103423-A-3 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:20055
+2-103427-A-3 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:30075
+2-104952-A-16 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:40096
+2-106072-A-36 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:50117
+2-108760-A-14 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:60138
+2-108760-B-14 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:70159
+2-108763-A-9 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:80179
+2-108767-A-9 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:90199
+2-109371-A-16 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:100220
+2-109505-A-21 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:110241
+2-112213-A-39 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:120262
+2-114609-A-28 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:130283
+2-117615-C-48 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:140304
+2-117616-A-48 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:150325
+2-117795-A-3 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:160345
+2-118625-A-30 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:170366
+2-118817-A-32 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:180387
+2-119102-A-21 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:190408
+2-119161-B-8 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:200428
+2-119161-C-8 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:210448
+2-120218-B-30 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:220469
+2-121909-A-35 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:230490
+2-122067-A-45 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:240511
+2-128465-A-43 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:250532
+2-131943-A-38 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:260553
+2-135860-A-49 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:270574
+2-141563-A-39 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:280595
+2-141681-A-36 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:290616
+2-151079-A-20 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:300637
+2-154688-A-31 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:310658
+2-165801-A-48 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:320679
+2-166644-B-2 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:330699
+2-173559-A-39 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:340720
+2-18766-B-12 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark:350740
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diff --git a/esc50_dev/data/wav_codec_ESPnet.2.ark b/esc50_dev/data/wav_codec_ESPnet.2.ark
new file mode 100644
index 0000000000000000000000000000000000000000..fae8da9bd671f5d6ccc316f329dedd7be6076170
Binary files /dev/null and b/esc50_dev/data/wav_codec_ESPnet.2.ark differ
diff --git a/esc50_dev/data/wav_codec_ESPnet.2.scp b/esc50_dev/data/wav_codec_ESPnet.2.scp
new file mode 100644
index 0000000000000000000000000000000000000000..9901e2b5b5d59dc39dae8221947b00e06b147214
--- /dev/null
+++ b/esc50_dev/data/wav_codec_ESPnet.2.scp
@@ -0,0 +1,40 @@
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diff --git a/esc50_dev/data/wav_codec_ESPnet.3.ark b/esc50_dev/data/wav_codec_ESPnet.3.ark
new file mode 100644
index 0000000000000000000000000000000000000000..adb9b147eb2448d48e68e98c651542f94078bb64
Binary files /dev/null and b/esc50_dev/data/wav_codec_ESPnet.3.ark differ
diff --git a/esc50_dev/data/wav_codec_ESPnet.3.scp b/esc50_dev/data/wav_codec_ESPnet.3.scp
new file mode 100644
index 0000000000000000000000000000000000000000..4af05c5176c591895ed8216683140918e13fe240
--- /dev/null
+++ b/esc50_dev/data/wav_codec_ESPnet.3.scp
@@ -0,0 +1,40 @@
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diff --git a/esc50_dev/data/wav_codec_ESPnet.4.ark b/esc50_dev/data/wav_codec_ESPnet.4.ark
new file mode 100644
index 0000000000000000000000000000000000000000..7d8451422d171a83ee08fa9c8ff36981a3542da1
Binary files /dev/null and b/esc50_dev/data/wav_codec_ESPnet.4.ark differ
diff --git a/esc50_dev/data/wav_codec_ESPnet.4.scp b/esc50_dev/data/wav_codec_ESPnet.4.scp
new file mode 100644
index 0000000000000000000000000000000000000000..fab5eb9f34c61c48ae3901bc8578717c5583e546
--- /dev/null
+++ b/esc50_dev/data/wav_codec_ESPnet.4.scp
@@ -0,0 +1,40 @@
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diff --git a/esc50_dev/data/wav_codec_ESPnet.5.ark b/esc50_dev/data/wav_codec_ESPnet.5.ark
new file mode 100644
index 0000000000000000000000000000000000000000..c880b27fa3369c99269443c2cbf6d76ec1eccb21
Binary files /dev/null and b/esc50_dev/data/wav_codec_ESPnet.5.ark differ
diff --git a/esc50_dev/data/wav_codec_ESPnet.5.scp b/esc50_dev/data/wav_codec_ESPnet.5.scp
new file mode 100644
index 0000000000000000000000000000000000000000..66080dd807e96cf281711bc4a1f221ef2958cf9c
--- /dev/null
+++ b/esc50_dev/data/wav_codec_ESPnet.5.scp
@@ -0,0 +1,40 @@
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diff --git a/esc50_dev/data/wav_codec_ESPnet.6.ark b/esc50_dev/data/wav_codec_ESPnet.6.ark
new file mode 100644
index 0000000000000000000000000000000000000000..89479e57180e7634053d2fee55771e3d653745b2
Binary files /dev/null and b/esc50_dev/data/wav_codec_ESPnet.6.ark differ
diff --git a/esc50_dev/data/wav_codec_ESPnet.6.scp b/esc50_dev/data/wav_codec_ESPnet.6.scp
new file mode 100644
index 0000000000000000000000000000000000000000..80d756d87aef26c6efdae6184c902562e5065281
--- /dev/null
+++ b/esc50_dev/data/wav_codec_ESPnet.6.scp
@@ -0,0 +1,40 @@
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diff --git a/esc50_dev/data/wav_codec_ESPnet.7.ark b/esc50_dev/data/wav_codec_ESPnet.7.ark
new file mode 100644
index 0000000000000000000000000000000000000000..aeb117417271a01f827af73a724e2efbf1231933
Binary files /dev/null and b/esc50_dev/data/wav_codec_ESPnet.7.ark differ
diff --git a/esc50_dev/data/wav_codec_ESPnet.7.scp b/esc50_dev/data/wav_codec_ESPnet.7.scp
new file mode 100644
index 0000000000000000000000000000000000000000..18014e7f7df3a39902e81ef4c042b29a2dae6ee8
--- /dev/null
+++ b/esc50_dev/data/wav_codec_ESPnet.7.scp
@@ -0,0 +1,40 @@
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+5-203128-B-0 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.ark:310655
+5-204741-A-46 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.ark:320676
+5-205589-B-17 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.ark:330697
+5-207811-A-35 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.ark:340718
+5-207811-B-35 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.ark:350739
+5-207836-A-29 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.ark:360760
+5-207836-C-29 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.ark:370781
+5-207836-D-29 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.ark:380802
+5-208624-A-38 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.ark:390823
+5-208761-A-24 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:14
+5-209833-A-38 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:10035
+5-211197-A-24 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:20056
+5-212736-A-17 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:30077
+5-213836-A-9 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:40097
+5-215005-A-32 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:50118
+5-215179-A-13 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:60139
+5-216213-A-13 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:70160
+5-216370-B-41 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:80181
+5-217186-A-16 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:90202
+5-217186-C-16 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:100223
+5-218196-A-27 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:110244
+5-218980-A-30 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:120265
+5-219342-A-38 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:130286
+5-219379-B-11 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:140307
+5-220955-A-40 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:150328
+5-221529-A-39 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:160349
+5-221568-A-22 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:170370
+5-221593-A-21 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:180391
+5-221878-A-34 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:190412
+5-222041-A-9 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:200432
+5-223103-A-31 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:210453
+5-234855-A-25 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:220474
+5-235956-A-47 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:230495
+5-236299-A-34 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:240516
+5-237499-A-4 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:250536
+5-242490-A-14 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:260557
+5-243450-A-14 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:270578
+5-243459-A-14 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:280599
+5-244315-B-6 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:290619
+5-244327-A-34 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:300640
+5-245040-A-35 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:310661
+5-250026-B-30 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:320682
+5-251489-A-24 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:330703
+5-251963-A-47 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:340724
+5-253094-D-49 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:350745
+5-259640-A-29 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:360766
+5-260164-A-23 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:370787
+5-262957-A-22 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:380808
+5-263775-B-26 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark:390829
diff --git a/esc50_dev/logdir/codec_dump_ESPnet.1.log b/esc50_dev/logdir/codec_dump_ESPnet.1.log
new file mode 100644
index 0000000000000000000000000000000000000000..01f9998083175916414df0e5ede79134a18a6f4c
--- /dev/null
+++ b/esc50_dev/logdir/codec_dump_ESPnet.1.log
@@ -0,0 +1,64 @@
+# Running on gpub006.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:03:56 CDT 2024
+# SLURMD_NODENAME=gpub006
+# SLURM_ARRAY_JOB_ID=5101717
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=1
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5101719
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728608630
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=2
+# SLURM_JOB_ID=5101719
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub006
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728435830
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub006
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=142220
+# SLURM_TOPOLOGY_ADDR=ss00.ss09.gpub006
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 1 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.1.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.1.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/wav.1.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.1.scp 
+2024-10-08 20:03:58 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 6368.84it/s]
+2024-10-08 20:04:07 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728435836
+# Accounting: end_time=1728435850
+# Accounting: time=14 threads=1
+# Finished at Tue Oct 8 20:04:10 CDT 2024 with status 0
diff --git a/esc50_dev/logdir/codec_dump_ESPnet.2.log b/esc50_dev/logdir/codec_dump_ESPnet.2.log
new file mode 100644
index 0000000000000000000000000000000000000000..93ccdf4677df8cced4e102b2fd0cf7bb7391cd10
--- /dev/null
+++ b/esc50_dev/logdir/codec_dump_ESPnet.2.log
@@ -0,0 +1,64 @@
+# Running on gpub010.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:03:57 CDT 2024
+# SLURMD_NODENAME=gpub010
+# SLURM_ARRAY_JOB_ID=5101717
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=2
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5101720
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728608630
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5101720
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub010
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728435830
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub010
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=809433
+# SLURM_TOPOLOGY_ADDR=ss00.ss09.gpub010
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 2 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.2.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.2.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/wav.2.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.2.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.2.scp 
+2024-10-08 20:03:59 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 7261.61it/s]
+2024-10-08 20:04:08 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728435837
+# Accounting: end_time=1728435852
+# Accounting: time=15 threads=1
+# Finished at Tue Oct 8 20:04:12 CDT 2024 with status 0
diff --git a/esc50_dev/logdir/codec_dump_ESPnet.3.log b/esc50_dev/logdir/codec_dump_ESPnet.3.log
new file mode 100644
index 0000000000000000000000000000000000000000..7781690ef1dc4a9fde853a59feea92c8996c24fe
--- /dev/null
+++ b/esc50_dev/logdir/codec_dump_ESPnet.3.log
@@ -0,0 +1,64 @@
+# Running on gpub018.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:03:59 CDT 2024
+# SLURMD_NODENAME=gpub018
+# SLURM_ARRAY_JOB_ID=5101717
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=3
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5101721
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728608630
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=0
+# SLURM_JOB_ID=5101721
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub018
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728435830
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub018
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=1663405
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub018
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 3 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.3.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.3.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/wav.3.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.3.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.3.scp 
+2024-10-08 20:04:26 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 8109.64it/s]
+2024-10-08 20:04:38 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728435839
+# Accounting: end_time=1728435881
+# Accounting: time=42 threads=1
+# Finished at Tue Oct 8 20:04:41 CDT 2024 with status 0
diff --git a/esc50_dev/logdir/codec_dump_ESPnet.4.log b/esc50_dev/logdir/codec_dump_ESPnet.4.log
new file mode 100644
index 0000000000000000000000000000000000000000..79981a6003b7a367feead260c3fd552b18484a39
--- /dev/null
+++ b/esc50_dev/logdir/codec_dump_ESPnet.4.log
@@ -0,0 +1,64 @@
+# Running on gpub077.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:03:59 CDT 2024
+# SLURMD_NODENAME=gpub077
+# SLURM_ARRAY_JOB_ID=5101717
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=4
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5101722
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728608630
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5101722
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub077
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728435830
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub077
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=2951953
+# SLURM_TOPOLOGY_ADDR=ss00.ss12.gpub077
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 4 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.4.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.4.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/wav.4.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.4.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.4.scp 
+2024-10-08 20:05:10 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 9058.97it/s]
+2024-10-08 20:05:21 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728435839
+# Accounting: end_time=1728435924
+# Accounting: time=85 threads=1
+# Finished at Tue Oct 8 20:05:24 CDT 2024 with status 0
diff --git a/esc50_dev/logdir/codec_dump_ESPnet.5.log b/esc50_dev/logdir/codec_dump_ESPnet.5.log
new file mode 100644
index 0000000000000000000000000000000000000000..a63db96cef0ab2bc0a8750e9f889f76ce0b2078d
--- /dev/null
+++ b/esc50_dev/logdir/codec_dump_ESPnet.5.log
@@ -0,0 +1,64 @@
+# Running on gpub012.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:03:56 CDT 2024
+# SLURMD_NODENAME=gpub012
+# SLURM_ARRAY_JOB_ID=5101717
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=5
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5101723
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728608630
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5101723
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub012
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728435830
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub012
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=2919863
+# SLURM_TOPOLOGY_ADDR=ss00.ss09.gpub012
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 5 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.5.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.5.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/wav.5.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.5.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.5.scp 
+2024-10-08 20:03:59 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 9636.91it/s]
+2024-10-08 20:04:07 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728435836
+# Accounting: end_time=1728435850
+# Accounting: time=14 threads=1
+# Finished at Tue Oct 8 20:04:10 CDT 2024 with status 0
diff --git a/esc50_dev/logdir/codec_dump_ESPnet.6.log b/esc50_dev/logdir/codec_dump_ESPnet.6.log
new file mode 100644
index 0000000000000000000000000000000000000000..d97346ec67be6c51fd4b4359f6f04677d2bb46e2
--- /dev/null
+++ b/esc50_dev/logdir/codec_dump_ESPnet.6.log
@@ -0,0 +1,64 @@
+# Running on gpub028.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:03:57 CDT 2024
+# SLURMD_NODENAME=gpub028
+# SLURM_ARRAY_JOB_ID=5101717
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=6
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5101724
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728608630
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5101724
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub028
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728435830
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub028
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=3401619
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub028
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 6 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.6.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.6.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/wav.6.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.6.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.6.scp 
+2024-10-08 20:04:10 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 6807.83it/s]
+2024-10-08 20:04:19 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728435837
+# Accounting: end_time=1728435862
+# Accounting: time=25 threads=1
+# Finished at Tue Oct 8 20:04:22 CDT 2024 with status 0
diff --git a/esc50_dev/logdir/codec_dump_ESPnet.7.log b/esc50_dev/logdir/codec_dump_ESPnet.7.log
new file mode 100644
index 0000000000000000000000000000000000000000..1a186e13cb9bcacfee20feb56cc6d98cf5b51e10
--- /dev/null
+++ b/esc50_dev/logdir/codec_dump_ESPnet.7.log
@@ -0,0 +1,64 @@
+# Running on gpub070.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:03:56 CDT 2024
+# SLURMD_NODENAME=gpub070
+# SLURM_ARRAY_JOB_ID=5101717
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=7
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5101725
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728608630
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5101725
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub070
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728435830
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub070
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=934651
+# SLURM_TOPOLOGY_ADDR=ss00.ss11.gpub070
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 7 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.7.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.7.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/wav.7.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.7.scp 
+2024-10-08 20:04:01 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 6460.73it/s]
+2024-10-08 20:04:10 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728435836
+# Accounting: end_time=1728435854
+# Accounting: time=18 threads=1
+# Finished at Tue Oct 8 20:04:14 CDT 2024 with status 0
diff --git a/esc50_dev/logdir/codec_dump_ESPnet.8.log b/esc50_dev/logdir/codec_dump_ESPnet.8.log
new file mode 100644
index 0000000000000000000000000000000000000000..466272ef368c740f76069cdf224af9acfcb4e85b
--- /dev/null
+++ b/esc50_dev/logdir/codec_dump_ESPnet.8.log
@@ -0,0 +1,64 @@
+# Running on gpub088.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:03:59 CDT 2024
+# SLURMD_NODENAME=gpub088
+# SLURM_ARRAY_JOB_ID=5101717
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=8
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5101717
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728608630
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5101717
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub088
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728435830
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub088
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=942488
+# SLURM_TOPOLOGY_ADDR=ss00.ss12.gpub088
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 8 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.8.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.8.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/wav.8.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.8.scp 
+2024-10-08 20:04:08 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 9841.93it/s]
+2024-10-08 20:04:16 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728435839
+# Accounting: end_time=1728435860
+# Accounting: time=21 threads=1
+# Finished at Tue Oct 8 20:04:20 CDT 2024 with status 0
diff --git a/esc50_dev/logdir/q/codec_dump_ESPnet.log b/esc50_dev/logdir/q/codec_dump_ESPnet.log
new file mode 100644
index 0000000000000000000000000000000000000000..0d64c0c6f8726212aa152cbea82373d8861348b5
--- /dev/null
+++ b/esc50_dev/logdir/q/codec_dump_ESPnet.log
@@ -0,0 +1 @@
+Submitted batch job 5101717
diff --git a/esc50_dev/logdir/q/codec_dump_ESPnet.sh b/esc50_dev/logdir/q/codec_dump_ESPnet.sh
new file mode 100644
index 0000000000000000000000000000000000000000..8be57e910eaed5dad01df48303432cf271b6d74a
--- /dev/null
+++ b/esc50_dev/logdir/q/codec_dump_ESPnet.sh
@@ -0,0 +1,29 @@
+#!/bin/bash
+cd /scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+. ./path.sh
+( echo '#' Running on `hostname`
+  echo '#' Started at `date`
+  set | grep SLURM | while read line; do echo "# $line"; done
+  echo -n '# '; cat <<EOF
+python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank ${SLURM_ARRAY_TASK_ID} --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/wav.${SLURM_ARRAY_TASK_ID}.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.scp 
+EOF
+) >dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+if [ "$CUDA_VISIBLE_DEVICES" == "NoDevFiles" ]; then
+  ( echo CUDA_VISIBLE_DEVICES set to NoDevFiles, unsetting it... 
+  )>>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+  unset CUDA_VISIBLE_DEVICES
+fi
+time1=`date +"%s"`
+ ( python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank ${SLURM_ARRAY_TASK_ID} --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/wav.${SLURM_ARRAY_TASK_ID}.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.scp  ) &>>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+ret=$?
+sync || true
+time2=`date +"%s"`
+echo '#' Accounting: begin_time=$time1 >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+echo '#' Accounting: end_time=$time2 >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+echo '#' Accounting: time=$(($time2-$time1)) threads=1 >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+echo '#' Finished at `date` with status $ret >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+[ $ret -eq 137 ] && exit 100;
+touch dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/q/done.2608319.$SLURM_ARRAY_TASK_ID
+exit $[$ret ? 1 : 0]
+## submitted with:
+# sbatch --export=PATH  --time 2-00:00:00 -p gpuA40x4 --gres=gpu:1 -c 16 --mem 60000M --account=bbjs-delta-gpu  --open-mode=append -e dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/q/codec_dump_ESPnet.log -o dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/q/codec_dump_ESPnet.log --array 1-8 /scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/q/codec_dump_ESPnet.sh >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_dev/logdir/q/codec_dump_ESPnet.log 2>&1
diff --git a/esc50_dev/logdir/wav.1.scp b/esc50_dev/logdir/wav.1.scp
new file mode 100644
index 0000000000000000000000000000000000000000..17bac5330a1a4a97ca26062c94dd06016942c69f
--- /dev/null
+++ b/esc50_dev/logdir/wav.1.scp
@@ -0,0 +1,40 @@
+2-102414-A-17 dump_16000/audio_raw_tts_mls/org/valid/data/format.1/data_wav.ark:14
+2-102414-F-17 dump_16000/audio_raw_tts_mls/org/valid/data/format.1/data_wav.ark:85398
+2-103423-A-3 dump_16000/audio_raw_tts_mls/org/valid/data/format.1/data_wav.ark:148207
+2-103427-A-3 dump_16000/audio_raw_tts_mls/org/valid/data/format.1/data_wav.ark:194727
+2-104952-A-16 dump_16000/audio_raw_tts_mls/org/valid/data/format.1/data_wav.ark:239937
+2-106072-A-36 dump_16000/audio_raw_tts_mls/org/valid/data/format.1/data_wav.ark:323690
+2-108760-A-14 dump_16000/audio_raw_tts_mls/org/valid/data/format.1/data_wav.ark:472694
+2-108760-B-14 dump_16000/audio_raw_tts_mls/org/valid/data/format.1/data_wav.ark:567435
+2-108763-A-9 dump_16000/audio_raw_tts_mls/org/valid/data/format.1/data_wav.ark:664052
+2-108767-A-9 dump_16000/audio_raw_tts_mls/org/valid/data/format.1/data_wav.ark:778099
+2-109371-A-16 dump_16000/audio_raw_tts_mls/org/valid/data/format.2/data_wav.ark:14
+2-109505-A-21 dump_16000/audio_raw_tts_mls/org/valid/data/format.2/data_wav.ark:105174
+2-112213-A-39 dump_16000/audio_raw_tts_mls/org/valid/data/format.2/data_wav.ark:121438
+2-114609-A-28 dump_16000/audio_raw_tts_mls/org/valid/data/format.2/data_wav.ark:229346
+2-117615-C-48 dump_16000/audio_raw_tts_mls/org/valid/data/format.2/data_wav.ark:283497
+2-117616-A-48 dump_16000/audio_raw_tts_mls/org/valid/data/format.2/data_wav.ark:350524
+2-117795-A-3 dump_16000/audio_raw_tts_mls/org/valid/data/format.2/data_wav.ark:436853
+2-118625-A-30 dump_16000/audio_raw_tts_mls/org/valid/data/format.2/data_wav.ark:531252
+2-118817-A-32 dump_16000/audio_raw_tts_mls/org/valid/data/format.2/data_wav.ark:566887
+2-119102-A-21 dump_16000/audio_raw_tts_mls/org/valid/data/format.2/data_wav.ark:645957
+2-119161-B-8 dump_16000/audio_raw_tts_mls/org/valid/data/format.3/data_wav.ark:13
+2-119161-C-8 dump_16000/audio_raw_tts_mls/org/valid/data/format.3/data_wav.ark:103468
+2-120218-B-30 dump_16000/audio_raw_tts_mls/org/valid/data/format.3/data_wav.ark:165324
+2-121909-A-35 dump_16000/audio_raw_tts_mls/org/valid/data/format.3/data_wav.ark:232265
+2-122067-A-45 dump_16000/audio_raw_tts_mls/org/valid/data/format.3/data_wav.ark:341024
+2-128465-A-43 dump_16000/audio_raw_tts_mls/org/valid/data/format.3/data_wav.ark:464358
+2-131943-A-38 dump_16000/audio_raw_tts_mls/org/valid/data/format.3/data_wav.ark:575926
+2-135860-A-49 dump_16000/audio_raw_tts_mls/org/valid/data/format.3/data_wav.ark:669937
+2-141563-A-39 dump_16000/audio_raw_tts_mls/org/valid/data/format.3/data_wav.ark:742900
+2-141681-A-36 dump_16000/audio_raw_tts_mls/org/valid/data/format.3/data_wav.ark:782218
+2-151079-A-20 dump_16000/audio_raw_tts_mls/org/valid/data/format.4/data_wav.ark:14
+2-154688-A-31 dump_16000/audio_raw_tts_mls/org/valid/data/format.4/data_wav.ark:86569
+2-165801-A-48 dump_16000/audio_raw_tts_mls/org/valid/data/format.4/data_wav.ark:123202
+2-166644-B-2 dump_16000/audio_raw_tts_mls/org/valid/data/format.4/data_wav.ark:168258
+2-173559-A-39 dump_16000/audio_raw_tts_mls/org/valid/data/format.4/data_wav.ark:275144
+2-18766-B-12 dump_16000/audio_raw_tts_mls/org/valid/data/format.4/data_wav.ark:352812
+2-188822-A-40 dump_16000/audio_raw_tts_mls/org/valid/data/format.4/data_wav.ark:421314
+2-188822-C-40 dump_16000/audio_raw_tts_mls/org/valid/data/format.4/data_wav.ark:532328
+2-209471-A-25 dump_16000/audio_raw_tts_mls/org/valid/data/format.4/data_wav.ark:660594
+2-209474-A-25 dump_16000/audio_raw_tts_mls/org/valid/data/format.4/data_wav.ark:760989
diff --git a/esc50_dev/logdir/wav.2.scp b/esc50_dev/logdir/wav.2.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e5cc13d81a0a34424e00977bfc2717cae1801f6a
--- /dev/null
+++ b/esc50_dev/logdir/wav.2.scp
@@ -0,0 +1,40 @@
+2-30322-B-12 dump_16000/audio_raw_tts_mls/org/valid/data/format.5/data_wav.ark:13
+2-32834-A-4 dump_16000/audio_raw_tts_mls/org/valid/data/format.5/data_wav.ark:95166
+2-37806-C-40 dump_16000/audio_raw_tts_mls/org/valid/data/format.5/data_wav.ark:205259
+2-39443-B-19 dump_16000/audio_raw_tts_mls/org/valid/data/format.5/data_wav.ark:326926
+2-43802-A-42 dump_16000/audio_raw_tts_mls/org/valid/data/format.5/data_wav.ark:415477
+2-50668-B-41 dump_16000/audio_raw_tts_mls/org/valid/data/format.5/data_wav.ark:542909
+2-52085-A-4 dump_16000/audio_raw_tts_mls/org/valid/data/format.5/data_wav.ark:678312
+2-54086-A-43 dump_16000/audio_raw_tts_mls/org/valid/data/format.5/data_wav.ark:782942
+2-54961-A-23 dump_16000/audio_raw_tts_mls/org/valid/data/format.5/data_wav.ark:835686
+2-59241-A-35 dump_16000/audio_raw_tts_mls/org/valid/data/format.5/data_wav.ark:908957
+2-59566-A-46 dump_16000/audio_raw_tts_mls/org/valid/data/format.6/data_wav.ark:13
+2-60180-A-49 dump_16000/audio_raw_tts_mls/org/valid/data/format.6/data_wav.ark:112489
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diff --git a/esc50_dev/token_lists/codec_token_list b/esc50_dev/token_lists/codec_token_list
new file mode 100644
index 0000000000000000000000000000000000000000..3d5876836443e4f7353e8f81ecefb829f3745b0c
--- /dev/null
+++ b/esc50_dev/token_lists/codec_token_list
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index 0000000000000000000000000000000000000000..5d0473d245426e101d0a65343edddba655662a63
--- /dev/null
+++ b/esc50_dev/token_lists/g2p_token_list
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diff --git a/esc50_dev/utt2spk b/esc50_dev/utt2spk
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diff --git a/esc50_dev/wav.scp b/esc50_dev/wav.scp
new file mode 100644
index 0000000000000000000000000000000000000000..60633f1b7f995f6d80d97511718bf9ac7706507e
--- /dev/null
+++ b/esc50_dev/wav.scp
@@ -0,0 +1,320 @@
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diff --git a/esc50_test/data/wav_codec_ESPnet.1.ark b/esc50_test/data/wav_codec_ESPnet.1.ark
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.1.scp b/esc50_test/data/wav_codec_ESPnet.1.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.2.ark b/esc50_test/data/wav_codec_ESPnet.2.ark
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.2.scp b/esc50_test/data/wav_codec_ESPnet.2.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.3.ark b/esc50_test/data/wav_codec_ESPnet.3.ark
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.3.scp b/esc50_test/data/wav_codec_ESPnet.3.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.4.ark b/esc50_test/data/wav_codec_ESPnet.4.ark
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.4.scp b/esc50_test/data/wav_codec_ESPnet.4.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.5.ark b/esc50_test/data/wav_codec_ESPnet.5.ark
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.5.scp b/esc50_test/data/wav_codec_ESPnet.5.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.6.ark b/esc50_test/data/wav_codec_ESPnet.6.ark
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.6.scp b/esc50_test/data/wav_codec_ESPnet.6.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.7.ark b/esc50_test/data/wav_codec_ESPnet.7.ark
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.7.scp b/esc50_test/data/wav_codec_ESPnet.7.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.8.ark b/esc50_test/data/wav_codec_ESPnet.8.ark
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/data/wav_codec_ESPnet.8.scp b/esc50_test/data/wav_codec_ESPnet.8.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_test/logdir/codec_dump_ESPnet.1.log b/esc50_test/logdir/codec_dump_ESPnet.1.log
new file mode 100644
index 0000000000000000000000000000000000000000..f4e237eb7b304056bcc680daa7768fa1222522bf
--- /dev/null
+++ b/esc50_test/logdir/codec_dump_ESPnet.1.log
@@ -0,0 +1,74 @@
+# Running on gpub024.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:51:22 CDT 2024
+# SLURMD_NODENAME=gpub024
+# SLURM_ARRAY_JOB_ID=5102178
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=1
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5102181
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728611472
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5102181
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub024
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728438672
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub024
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=3645523
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub024
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 1 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.1.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.1.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/wav.1.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.1.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.1.scp 
+2024-10-08 20:53:13 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 5464.42it/s]
+2024-10-08 20:56:22 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+Traceback (most recent call last):
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 176, in <module>
+    dump_codec(**args)
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 122, in dump_codec
+    for idx, (key, (sample_rate, wav)) in enumerate(wav_reader):
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/highlevel.py", line 136, in __iter__
+    k, v = next(self.generator)
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/matio.py", line 125, in load_scp_sequential
+    arkfd = open_like_kaldi(ark, "rb")
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/utils.py", line 207, in open_like_kaldi
+    return io.open(name, mode, encoding=encoding)
+FileNotFoundError: [Errno 2] No such file or directory: 'dump_16000/audio_raw_tts_mls/test/data/format.1/data_wav.ark'
+# Accounting: begin_time=1728438682
+# Accounting: end_time=1728439008
+# Accounting: time=326 threads=1
+# Finished at Tue Oct 8 20:56:48 CDT 2024 with status 1
diff --git a/esc50_test/logdir/codec_dump_ESPnet.2.log b/esc50_test/logdir/codec_dump_ESPnet.2.log
new file mode 100644
index 0000000000000000000000000000000000000000..8a5ba0a57276be0421666b096b4ce745c45fd021
--- /dev/null
+++ b/esc50_test/logdir/codec_dump_ESPnet.2.log
@@ -0,0 +1,74 @@
+# Running on gpub024.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:51:22 CDT 2024
+# SLURMD_NODENAME=gpub024
+# SLURM_ARRAY_JOB_ID=5102178
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=2
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5102182
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728611472
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=2
+# SLURM_JOB_ID=5102182
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub024
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728438672
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub024
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=3645524
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub024
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 2 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.2.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.2.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/wav.2.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.2.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.2.scp 
+2024-10-08 20:53:13 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 5618.88it/s]
+2024-10-08 20:56:22 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+Traceback (most recent call last):
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 176, in <module>
+    dump_codec(**args)
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 122, in dump_codec
+    for idx, (key, (sample_rate, wav)) in enumerate(wav_reader):
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/highlevel.py", line 136, in __iter__
+    k, v = next(self.generator)
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/matio.py", line 125, in load_scp_sequential
+    arkfd = open_like_kaldi(ark, "rb")
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/utils.py", line 207, in open_like_kaldi
+    return io.open(name, mode, encoding=encoding)
+FileNotFoundError: [Errno 2] No such file or directory: 'dump_16000/audio_raw_tts_mls/test/data/format.4/data_wav.ark'
+# Accounting: begin_time=1728438682
+# Accounting: end_time=1728439008
+# Accounting: time=326 threads=1
+# Finished at Tue Oct 8 20:56:48 CDT 2024 with status 1
diff --git a/esc50_test/logdir/codec_dump_ESPnet.3.log b/esc50_test/logdir/codec_dump_ESPnet.3.log
new file mode 100644
index 0000000000000000000000000000000000000000..a92ce544fb2aa37b0be33824a29807eaa30e543c
--- /dev/null
+++ b/esc50_test/logdir/codec_dump_ESPnet.3.log
@@ -0,0 +1,74 @@
+# Running on gpub024.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:51:22 CDT 2024
+# SLURMD_NODENAME=gpub024
+# SLURM_ARRAY_JOB_ID=5102178
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=3
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5102183
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728611472
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=3
+# SLURM_JOB_ID=5102183
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub024
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728438672
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub024
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=3645525
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub024
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 3 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.3.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.3.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/wav.3.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.3.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.3.scp 
+2024-10-08 20:53:13 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 8661.74it/s]
+2024-10-08 20:56:22 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+Traceback (most recent call last):
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 176, in <module>
+    dump_codec(**args)
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 122, in dump_codec
+    for idx, (key, (sample_rate, wav)) in enumerate(wav_reader):
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/highlevel.py", line 136, in __iter__
+    k, v = next(self.generator)
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/matio.py", line 125, in load_scp_sequential
+    arkfd = open_like_kaldi(ark, "rb")
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/utils.py", line 207, in open_like_kaldi
+    return io.open(name, mode, encoding=encoding)
+FileNotFoundError: [Errno 2] No such file or directory: 'dump_16000/audio_raw_tts_mls/test/data/format.8/data_wav.ark'
+# Accounting: begin_time=1728438682
+# Accounting: end_time=1728439008
+# Accounting: time=326 threads=1
+# Finished at Tue Oct 8 20:56:48 CDT 2024 with status 1
diff --git a/esc50_test/logdir/codec_dump_ESPnet.4.log b/esc50_test/logdir/codec_dump_ESPnet.4.log
new file mode 100644
index 0000000000000000000000000000000000000000..72b188855d63ffdf98b8d72bc45793a90ad5ba7b
--- /dev/null
+++ b/esc50_test/logdir/codec_dump_ESPnet.4.log
@@ -0,0 +1,74 @@
+# Running on gpub025.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:51:23 CDT 2024
+# SLURMD_NODENAME=gpub025
+# SLURM_ARRAY_JOB_ID=5102178
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=4
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5102184
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728611472
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=0
+# SLURM_JOB_ID=5102184
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub025
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728438672
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub025
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=499299
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub025
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 4 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.4.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.4.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/wav.4.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.4.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.4.scp 
+2024-10-08 20:53:30 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 5556.11it/s]
+2024-10-08 20:56:51 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+Traceback (most recent call last):
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 176, in <module>
+    dump_codec(**args)
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 122, in dump_codec
+    for idx, (key, (sample_rate, wav)) in enumerate(wav_reader):
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/highlevel.py", line 136, in __iter__
+    k, v = next(self.generator)
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/matio.py", line 125, in load_scp_sequential
+    arkfd = open_like_kaldi(ark, "rb")
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/utils.py", line 207, in open_like_kaldi
+    return io.open(name, mode, encoding=encoding)
+FileNotFoundError: [Errno 2] No such file or directory: 'dump_16000/audio_raw_tts_mls/test/data/format.12/data_wav.ark'
+# Accounting: begin_time=1728438684
+# Accounting: end_time=1728439039
+# Accounting: time=355 threads=1
+# Finished at Tue Oct 8 20:57:19 CDT 2024 with status 1
diff --git a/esc50_test/logdir/codec_dump_ESPnet.5.log b/esc50_test/logdir/codec_dump_ESPnet.5.log
new file mode 100644
index 0000000000000000000000000000000000000000..13938533a7c5c7219ce3eeb4e05d1512a577815f
--- /dev/null
+++ b/esc50_test/logdir/codec_dump_ESPnet.5.log
@@ -0,0 +1,74 @@
+# Running on gpub025.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:51:23 CDT 2024
+# SLURMD_NODENAME=gpub025
+# SLURM_ARRAY_JOB_ID=5102178
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=5
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5102185
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728611472
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=2
+# SLURM_JOB_ID=5102185
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub025
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728438672
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub025
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=499300
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub025
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 5 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.5.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.5.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/wav.5.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.5.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.5.scp 
+2024-10-08 20:53:29 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 3944.61it/s]
+2024-10-08 20:56:51 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+Traceback (most recent call last):
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 176, in <module>
+    dump_codec(**args)
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 122, in dump_codec
+    for idx, (key, (sample_rate, wav)) in enumerate(wav_reader):
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/highlevel.py", line 136, in __iter__
+    k, v = next(self.generator)
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/matio.py", line 125, in load_scp_sequential
+    arkfd = open_like_kaldi(ark, "rb")
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/utils.py", line 207, in open_like_kaldi
+    return io.open(name, mode, encoding=encoding)
+FileNotFoundError: [Errno 2] No such file or directory: 'dump_16000/audio_raw_tts_mls/test/data/format.16/data_wav.ark'
+# Accounting: begin_time=1728438684
+# Accounting: end_time=1728439039
+# Accounting: time=355 threads=1
+# Finished at Tue Oct 8 20:57:19 CDT 2024 with status 1
diff --git a/esc50_test/logdir/codec_dump_ESPnet.6.log b/esc50_test/logdir/codec_dump_ESPnet.6.log
new file mode 100644
index 0000000000000000000000000000000000000000..12640083e144d7ac1bb22d10dec06f9708715615
--- /dev/null
+++ b/esc50_test/logdir/codec_dump_ESPnet.6.log
@@ -0,0 +1,74 @@
+# Running on gpub025.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:51:23 CDT 2024
+# SLURMD_NODENAME=gpub025
+# SLURM_ARRAY_JOB_ID=5102178
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=6
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5102186
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728611472
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=3
+# SLURM_JOB_ID=5102186
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub025
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728438672
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub025
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=499311
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub025
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 6 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.6.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.6.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/wav.6.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.6.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.6.scp 
+2024-10-08 20:53:30 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 4584.61it/s]
+2024-10-08 20:56:51 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+Traceback (most recent call last):
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 176, in <module>
+    dump_codec(**args)
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 122, in dump_codec
+    for idx, (key, (sample_rate, wav)) in enumerate(wav_reader):
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/highlevel.py", line 136, in __iter__
+    k, v = next(self.generator)
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/matio.py", line 125, in load_scp_sequential
+    arkfd = open_like_kaldi(ark, "rb")
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/utils.py", line 207, in open_like_kaldi
+    return io.open(name, mode, encoding=encoding)
+FileNotFoundError: [Errno 2] No such file or directory: 'dump_16000/audio_raw_tts_mls/test/data/format.20/data_wav.ark'
+# Accounting: begin_time=1728438684
+# Accounting: end_time=1728439040
+# Accounting: time=356 threads=1
+# Finished at Tue Oct 8 20:57:20 CDT 2024 with status 1
diff --git a/esc50_test/logdir/codec_dump_ESPnet.7.log b/esc50_test/logdir/codec_dump_ESPnet.7.log
new file mode 100644
index 0000000000000000000000000000000000000000..1745164babd54b8eda4fdb4dbc7412234eaa6965
--- /dev/null
+++ b/esc50_test/logdir/codec_dump_ESPnet.7.log
@@ -0,0 +1,74 @@
+# Running on gpub028.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:51:19 CDT 2024
+# SLURMD_NODENAME=gpub028
+# SLURM_ARRAY_JOB_ID=5102178
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=7
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5102187
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728611472
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5102187
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub028
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728438672
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub028
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=3765747
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub028
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 7 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.7.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.7.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/wav.7.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.7.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.7.scp 
+2024-10-08 20:51:33 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 8575.56it/s]
+2024-10-08 20:51:43 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+Traceback (most recent call last):
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 176, in <module>
+    dump_codec(**args)
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 122, in dump_codec
+    for idx, (key, (sample_rate, wav)) in enumerate(wav_reader):
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/highlevel.py", line 136, in __iter__
+    k, v = next(self.generator)
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/matio.py", line 125, in load_scp_sequential
+    arkfd = open_like_kaldi(ark, "rb")
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/utils.py", line 207, in open_like_kaldi
+    return io.open(name, mode, encoding=encoding)
+FileNotFoundError: [Errno 2] No such file or directory: 'dump_16000/audio_raw_tts_mls/test/data/format.24/data_wav.ark'
+# Accounting: begin_time=1728438679
+# Accounting: end_time=1728438705
+# Accounting: time=26 threads=1
+# Finished at Tue Oct 8 20:51:45 CDT 2024 with status 1
diff --git a/esc50_test/logdir/codec_dump_ESPnet.8.log b/esc50_test/logdir/codec_dump_ESPnet.8.log
new file mode 100644
index 0000000000000000000000000000000000000000..429333672a35757bd8d4cfb6d06645ba405ab8bb
--- /dev/null
+++ b/esc50_test/logdir/codec_dump_ESPnet.8.log
@@ -0,0 +1,74 @@
+# Running on gpub006.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 20:51:18 CDT 2024
+# SLURMD_NODENAME=gpub006
+# SLURM_ARRAY_JOB_ID=5102178
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=8
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5102178
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728611472
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=2
+# SLURM_JOB_ID=5102178
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub006
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728438672
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub006
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=520797
+# SLURM_TOPOLOGY_ADDR=ss00.ss09.gpub006
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 8 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.8.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.8.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/wav.8.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.8.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.8.scp 
+2024-10-08 20:51:21 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 6094.31it/s]
+2024-10-08 20:51:30 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+Traceback (most recent call last):
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 176, in <module>
+    dump_codec(**args)
+  File "/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/pyscripts/feats/dump_codec.py", line 122, in dump_codec
+    for idx, (key, (sample_rate, wav)) in enumerate(wav_reader):
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/highlevel.py", line 136, in __iter__
+    k, v = next(self.generator)
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/matio.py", line 125, in load_scp_sequential
+    arkfd = open_like_kaldi(ark, "rb")
+  File "/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/kaldiio/utils.py", line 207, in open_like_kaldi
+    return io.open(name, mode, encoding=encoding)
+FileNotFoundError: [Errno 2] No such file or directory: 'dump_16000/audio_raw_tts_mls/test/data/format.28/data_wav.ark'
+# Accounting: begin_time=1728438678
+# Accounting: end_time=1728438692
+# Accounting: time=14 threads=1
+# Finished at Tue Oct 8 20:51:32 CDT 2024 with status 1
diff --git a/esc50_test/logdir/q/codec_dump_ESPnet.log b/esc50_test/logdir/q/codec_dump_ESPnet.log
new file mode 100644
index 0000000000000000000000000000000000000000..c6f1908c8f0eac7e561822af780fb5d7a0d729d6
--- /dev/null
+++ b/esc50_test/logdir/q/codec_dump_ESPnet.log
@@ -0,0 +1 @@
+Submitted batch job 5102178
diff --git a/esc50_test/logdir/q/codec_dump_ESPnet.sh b/esc50_test/logdir/q/codec_dump_ESPnet.sh
new file mode 100644
index 0000000000000000000000000000000000000000..4cb228d33bc4907b9495e6c4de98f5d70c0b8683
--- /dev/null
+++ b/esc50_test/logdir/q/codec_dump_ESPnet.sh
@@ -0,0 +1,29 @@
+#!/bin/bash
+cd /scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+. ./path.sh
+( echo '#' Running on `hostname`
+  echo '#' Started at `date`
+  set | grep SLURM | while read line; do echo "# $line"; done
+  echo -n '# '; cat <<EOF
+python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank ${SLURM_ARRAY_TASK_ID} --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/wav.${SLURM_ARRAY_TASK_ID}.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.scp 
+EOF
+) >dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+if [ "$CUDA_VISIBLE_DEVICES" == "NoDevFiles" ]; then
+  ( echo CUDA_VISIBLE_DEVICES set to NoDevFiles, unsetting it... 
+  )>>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+  unset CUDA_VISIBLE_DEVICES
+fi
+time1=`date +"%s"`
+ ( python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank ${SLURM_ARRAY_TASK_ID} --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/wav.${SLURM_ARRAY_TASK_ID}.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.scp  ) &>>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+ret=$?
+sync || true
+time2=`date +"%s"`
+echo '#' Accounting: begin_time=$time1 >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+echo '#' Accounting: end_time=$time2 >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+echo '#' Accounting: time=$(($time2-$time1)) threads=1 >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+echo '#' Finished at `date` with status $ret >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+[ $ret -eq 137 ] && exit 100;
+touch dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/q/done.3112090.$SLURM_ARRAY_TASK_ID
+exit $[$ret ? 1 : 0]
+## submitted with:
+# sbatch --export=PATH  -p gpuA40x4 --gres=gpu:1 -c 16 --mem 60000M --account=bbjs-delta-gpu --time 2-00:00:00  --open-mode=append -e dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/q/codec_dump_ESPnet.log -o dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/q/codec_dump_ESPnet.log --array 1-8 /scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/q/codec_dump_ESPnet.sh >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_test/logdir/q/codec_dump_ESPnet.log 2>&1
diff --git a/esc50_test/logdir/wav.1.scp b/esc50_test/logdir/wav.1.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e2b55c9d9b3d7b5f0ab44aeafe9a421808adf519
--- /dev/null
+++ b/esc50_test/logdir/wav.1.scp
@@ -0,0 +1,50 @@
+1-100032-A-0 dump_16000/audio_raw_tts_mls/test/data/format.1/data_wav.ark:13
+1-100038-A-14 dump_16000/audio_raw_tts_mls/test/data/format.1/data_wav.ark:7980
+1-100210-A-36 dump_16000/audio_raw_tts_mls/test/data/format.1/data_wav.ark:125647
+1-100210-B-36 dump_16000/audio_raw_tts_mls/test/data/format.1/data_wav.ark:264649
+1-101296-A-19 dump_16000/audio_raw_tts_mls/test/data/format.1/data_wav.ark:403724
+1-101296-B-19 dump_16000/audio_raw_tts_mls/test/data/format.1/data_wav.ark:473410
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+1-105224-A-22 dump_16000/audio_raw_tts_mls/test/data/format.2/data_wav.ark:14
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diff --git a/esc50_test/logdir/wav.2.scp b/esc50_test/logdir/wav.2.scp
new file mode 100644
index 0000000000000000000000000000000000000000..435c7236ec5ac865cfdaa899ffa111ee594fdbf7
--- /dev/null
+++ b/esc50_test/logdir/wav.2.scp
@@ -0,0 +1,50 @@
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diff --git a/esc50_train/data.json b/esc50_train/data.json
new file mode 100644
index 0000000000000000000000000000000000000000..ebc8efcbcb5a353ba98fa32cd5eee083fad47331
--- /dev/null
+++ b/esc50_train/data.json
@@ -0,0 +1,1295 @@
+{
+    "task": "tts",
+    "vocabularies": [
+        "dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/g2p_token_list",
+        "dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list"
+    ],
+    "data_files": [
+        "dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/index_files/text,g2p,text",
+        "dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/index_files/utt2spk,spk,text",
+        "dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/index_files/wav.scp,codec,kaldi_ark"
+    ],
+    "num_examples": 1280,
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diff --git a/esc50_train/data/wav_codec_ESPnet.1.scp b/esc50_train/data/wav_codec_ESPnet.1.scp
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diff --git a/esc50_train/index_files/wav.scp b/esc50_train/index_files/wav.scp
new file mode 100644
index 0000000000000000000000000000000000000000..9fdf269337e4d568a5ca850d6a16f3ce332b2ca9
--- /dev/null
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+5-259514-A-26 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1392909
+5-260011-A-34 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1402930
+5-260432-A-39 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1412951
+5-260433-A-39 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1422972
+5-260434-A-39 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1432993
+5-260875-A-35 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1443014
+5-261325-A-9 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1453034
+5-261433-A-15 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1463055
+5-261439-A-15 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1473076
+5-261464-A-23 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1483097
+5-262641-A-15 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1493118
+5-263490-A-25 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1503139
+5-263491-A-25 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1513160
+5-263501-A-25 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1523181
+5-263775-A-26 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1533202
+5-263831-A-6 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1543222
+5-263831-B-6 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1553242
+5-263902-A-36 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1563263
+5-51149-A-25 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1573283
+5-61635-A-8 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1583302
+5-9032-A-0 dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark:1593320
diff --git a/esc50_train/logdir/codec_dump_ESPnet.1.log b/esc50_train/logdir/codec_dump_ESPnet.1.log
new file mode 100644
index 0000000000000000000000000000000000000000..588b14b3df49dae4169cfd192753fa9a32a8fbfc
--- /dev/null
+++ b/esc50_train/logdir/codec_dump_ESPnet.1.log
@@ -0,0 +1,64 @@
+# Running on gpub053.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 17:53:32 CDT 2024
+# SLURMD_NODENAME=gpub053
+# SLURM_ARRAY_JOB_ID=5099378
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=1
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5099903
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728600805
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5099903
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub053
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728428005
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub053
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=1554871
+# SLURM_TOPOLOGY_ADDR=ss00.ss11.gpub053
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 1 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.1.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.1.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/wav.1.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.1.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.1.scp 
+2024-10-08 17:53:35 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 5410.84it/s]
+2024-10-08 17:53:43 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728428012
+# Accounting: end_time=1728428030
+# Accounting: time=18 threads=1
+# Finished at Tue Oct 8 17:53:50 CDT 2024 with status 0
diff --git a/esc50_train/logdir/codec_dump_ESPnet.2.log b/esc50_train/logdir/codec_dump_ESPnet.2.log
new file mode 100644
index 0000000000000000000000000000000000000000..00472c3ded452313605fabaa961a45263102269e
--- /dev/null
+++ b/esc50_train/logdir/codec_dump_ESPnet.2.log
@@ -0,0 +1,64 @@
+# Running on gpub096.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 17:53:31 CDT 2024
+# SLURMD_NODENAME=gpub096
+# SLURM_ARRAY_JOB_ID=5099378
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=2
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5099904
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728600805
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5099904
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub096
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728428005
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub096
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=3817645
+# SLURM_TOPOLOGY_ADDR=ss00.ss12.gpub096
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 2 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.2.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.2.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/wav.2.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.2.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.2.scp 
+2024-10-08 17:53:34 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 8394.76it/s]
+2024-10-08 17:53:42 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728428011
+# Accounting: end_time=1728428026
+# Accounting: time=15 threads=1
+# Finished at Tue Oct 8 17:53:46 CDT 2024 with status 0
diff --git a/esc50_train/logdir/codec_dump_ESPnet.3.log b/esc50_train/logdir/codec_dump_ESPnet.3.log
new file mode 100644
index 0000000000000000000000000000000000000000..c12c438ab2b3d6b652c12224ba703cecc1330707
--- /dev/null
+++ b/esc50_train/logdir/codec_dump_ESPnet.3.log
@@ -0,0 +1,64 @@
+# Running on gpub020.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 17:54:17 CDT 2024
+# SLURMD_NODENAME=gpub020
+# SLURM_ARRAY_JOB_ID=5099378
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=3
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5099905
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728600844
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=0
+# SLURM_JOB_ID=5099905
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub020
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728428044
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub020
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=601752
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub020
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 3 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.3.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.3.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/wav.3.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.3.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.3.scp 
+2024-10-08 17:57:05 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 5290.27it/s]
+2024-10-08 18:01:47 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728428057
+# Accounting: end_time=1728428544
+# Accounting: time=487 threads=1
+# Finished at Tue Oct 8 18:02:24 CDT 2024 with status 0
diff --git a/esc50_train/logdir/codec_dump_ESPnet.4.log b/esc50_train/logdir/codec_dump_ESPnet.4.log
new file mode 100644
index 0000000000000000000000000000000000000000..6bf0c40b6b7ef201714f44417b51f80333d10a32
--- /dev/null
+++ b/esc50_train/logdir/codec_dump_ESPnet.4.log
@@ -0,0 +1,64 @@
+# Running on gpub074.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 17:54:41 CDT 2024
+# SLURMD_NODENAME=gpub074
+# SLURM_ARRAY_JOB_ID=5099378
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=4
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5099910
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728600876
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=0
+# SLURM_JOB_ID=5099910
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub074
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728428076
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub074
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=1227341
+# SLURM_TOPOLOGY_ADDR=ss00.ss12.gpub074
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 4 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.4.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.4.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/wav.4.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.4.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.4.scp 
+2024-10-08 17:54:44 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 8831.35it/s]
+2024-10-08 17:54:53 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728428081
+# Accounting: end_time=1728428097
+# Accounting: time=16 threads=1
+# Finished at Tue Oct 8 17:54:57 CDT 2024 with status 0
diff --git a/esc50_train/logdir/codec_dump_ESPnet.5.log b/esc50_train/logdir/codec_dump_ESPnet.5.log
new file mode 100644
index 0000000000000000000000000000000000000000..89cb98179ee56a946bfbb51d05355022defed634
--- /dev/null
+++ b/esc50_train/logdir/codec_dump_ESPnet.5.log
@@ -0,0 +1,64 @@
+# Running on gpub018.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 17:54:42 CDT 2024
+# SLURMD_NODENAME=gpub018
+# SLURM_ARRAY_JOB_ID=5099378
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=5
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5099911
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728600876
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5099911
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub018
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728428076
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub018
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=622101
+# SLURM_TOPOLOGY_ADDR=ss00.ss10.gpub018
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 5 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.5.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.5.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/wav.5.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.5.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.5.scp 
+2024-10-08 17:54:44 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 9308.95it/s]
+2024-10-08 17:54:53 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728428082
+# Accounting: end_time=1728428097
+# Accounting: time=15 threads=1
+# Finished at Tue Oct 8 17:54:57 CDT 2024 with status 0
diff --git a/esc50_train/logdir/codec_dump_ESPnet.6.log b/esc50_train/logdir/codec_dump_ESPnet.6.log
new file mode 100644
index 0000000000000000000000000000000000000000..c7ceaf6c87b4f5de4bb910c4f2baff2f1dfc38ce
--- /dev/null
+++ b/esc50_train/logdir/codec_dump_ESPnet.6.log
@@ -0,0 +1,64 @@
+# Running on gpub049.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 17:54:43 CDT 2024
+# SLURMD_NODENAME=gpub049
+# SLURM_ARRAY_JOB_ID=5099378
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=6
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5099912
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728600876
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=0
+# SLURM_JOB_ID=5099912
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub049
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728428076
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub049
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=382602
+# SLURM_TOPOLOGY_ADDR=ss00.ss11.gpub049
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 6 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.6.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.6.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/wav.6.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.6.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.6.scp 
+2024-10-08 17:54:46 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 6697.67it/s]
+2024-10-08 17:54:54 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728428083
+# Accounting: end_time=1728428099
+# Accounting: time=16 threads=1
+# Finished at Tue Oct 8 17:54:59 CDT 2024 with status 0
diff --git a/esc50_train/logdir/codec_dump_ESPnet.7.log b/esc50_train/logdir/codec_dump_ESPnet.7.log
new file mode 100644
index 0000000000000000000000000000000000000000..99ecd01ee39e6cffb312a0866c71c37458f11686
--- /dev/null
+++ b/esc50_train/logdir/codec_dump_ESPnet.7.log
@@ -0,0 +1,64 @@
+# Running on gpub049.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 17:54:43 CDT 2024
+# SLURMD_NODENAME=gpub049
+# SLURM_ARRAY_JOB_ID=5099378
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=7
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5099913
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728600876
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=1
+# SLURM_JOB_ID=5099913
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub049
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728428076
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub049
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=382601
+# SLURM_TOPOLOGY_ADDR=ss00.ss11.gpub049
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 7 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.7.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.7.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/wav.7.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.7.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.7.scp 
+2024-10-08 17:54:46 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 12125.77it/s]
+2024-10-08 17:54:54 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728428083
+# Accounting: end_time=1728428099
+# Accounting: time=16 threads=1
+# Finished at Tue Oct 8 17:54:59 CDT 2024 with status 0
diff --git a/esc50_train/logdir/codec_dump_ESPnet.8.log b/esc50_train/logdir/codec_dump_ESPnet.8.log
new file mode 100644
index 0000000000000000000000000000000000000000..1c72416dd0f32f1e44ecdc7dafcb8bf7b43ba47a
--- /dev/null
+++ b/esc50_train/logdir/codec_dump_ESPnet.8.log
@@ -0,0 +1,64 @@
+# Running on gpub049.delta.ncsa.illinois.edu
+# Started at Tue Oct 8 17:54:42 CDT 2024
+# SLURMD_NODENAME=gpub049
+# SLURM_ARRAY_JOB_ID=5099378
+# SLURM_ARRAY_TASK_COUNT=8
+# SLURM_ARRAY_TASK_ID=8
+# SLURM_ARRAY_TASK_MAX=8
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=delta
+# SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=16
+# SLURM_CPUS_PER_TASK=16
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GPUS_ON_NODE=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5099378
+# SLURM_JOB_ACCOUNT=bbjs-delta-gpu
+# SLURM_JOB_CPUS_PER_NODE=16
+# SLURM_JOB_END_TIME=1728600876
+# SLURM_JOB_GID=202
+# SLURM_JOB_GPUS=2
+# SLURM_JOB_ID=5099378
+# SLURM_JOB_NAME=codec_dump_ESPnet.sh
+# SLURM_JOB_NODELIST=gpub049
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=gpuA40x4
+# SLURM_JOB_QOS=bbjs-delta-gpu
+# SLURM_JOB_START_TIME=1728428076
+# SLURM_JOB_UID=68099
+# SLURM_JOB_USER=shi3
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_NODE=60000
+# SLURM_MPI_TYPE=pmi2
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=gpub049
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+# SLURM_SUBMIT_HOST=dt-login04.delta.ncsa.illinois.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=382573
+# SLURM_TOPOLOGY_ADDR=ss00.ss11.gpub049
+# SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
+# SLURM_TRES_PER_TASK=cpu:16
+# python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank 8 --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.8.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.8.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/wav.8.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.8.scp 
+2024-10-08 17:54:45 | INFO | dump_codec | build with codec_choice: ESPnet
+
+Fetching 30 files:   0%|          | 0/30 [00:00<?, ?it/s]_esc_
+Fetching 30 files: 100%|██████████| 30/30 [00:00<00:00, 8253.25it/s]
+2024-10-08 17:54:54 | INFO | root | config file: /scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--mls-english_soundstream_16k/snapshots/cbd595d6cd1f2e2c109da893782147effb3f0fa5/exp/codec_mls_english_soundstream4_large_v1.1/config.yaml
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.
+  return f(*args, **kwargs)
+/scratch/bbjs/shi3/stan/miniconda3/envs/espnet_codec/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
+  return F.conv1d(input, weight, bias, self.stride,
+# Accounting: begin_time=1728428082
+# Accounting: end_time=1728428099
+# Accounting: time=17 threads=1
+# Finished at Tue Oct 8 17:54:59 CDT 2024 with status 0
diff --git a/esc50_train/logdir/q/.kick b/esc50_train/logdir/q/.kick
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/esc50_train/logdir/q/codec_dump_ESPnet.log b/esc50_train/logdir/q/codec_dump_ESPnet.log
new file mode 100644
index 0000000000000000000000000000000000000000..b277774034114229a886be1b2a01a91519d03648
--- /dev/null
+++ b/esc50_train/logdir/q/codec_dump_ESPnet.log
@@ -0,0 +1 @@
+Submitted batch job 5099378
diff --git a/esc50_train/logdir/q/codec_dump_ESPnet.sh b/esc50_train/logdir/q/codec_dump_ESPnet.sh
new file mode 100644
index 0000000000000000000000000000000000000000..9f9b7626d11b287a94626d17504dc1b2cbf5f7ec
--- /dev/null
+++ b/esc50_train/logdir/q/codec_dump_ESPnet.sh
@@ -0,0 +1,29 @@
+#!/bin/bash
+cd /scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1
+. ./path.sh
+( echo '#' Running on `hostname`
+  echo '#' Started at `date`
+  set | grep SLURM | while read line; do echo "# $line"; done
+  echo -n '# '; cat <<EOF
+python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank ${SLURM_ARRAY_TASK_ID} --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/wav.${SLURM_ARRAY_TASK_ID}.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.scp 
+EOF
+) >dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+if [ "$CUDA_VISIBLE_DEVICES" == "NoDevFiles" ]; then
+  ( echo CUDA_VISIBLE_DEVICES set to NoDevFiles, unsetting it... 
+  )>>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+  unset CUDA_VISIBLE_DEVICES
+fi
+time1=`date +"%s"`
+ ( python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 30 --bias 0 --dump_audio false --rank ${SLURM_ARRAY_TASK_ID} --vocab_file dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_resyn_ESPnet.${SLURM_ARRAY_TASK_ID}.scp --checkpoint_path null --config_path null --hf_model_tag espnet/mls-english_soundstream_16k scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/wav.${SLURM_ARRAY_TASK_ID}.scp ark,scp:dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.ark,dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/data/wav_codec_ESPnet.${SLURM_ARRAY_TASK_ID}.scp  ) &>>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+ret=$?
+sync || true
+time2=`date +"%s"`
+echo '#' Accounting: begin_time=$time1 >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+echo '#' Accounting: end_time=$time2 >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+echo '#' Accounting: time=$(($time2-$time1)) threads=1 >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+echo '#' Finished at `date` with status $ret >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/codec_dump_ESPnet.$SLURM_ARRAY_TASK_ID.log
+[ $ret -eq 137 ] && exit 100;
+touch dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/q/done.347003.$SLURM_ARRAY_TASK_ID
+exit $[$ret ? 1 : 0]
+## submitted with:
+# sbatch --export=PATH  -p gpuA40x4 --gres=gpu:1 -c 16 --mem 60000M --account=bbjs-delta-gpu --time 2-00:00:00  --open-mode=append -e dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/q/codec_dump_ESPnet.log -o dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/q/codec_dump_ESPnet.log --array 1-8 /scratch/bbjs/shi3/stan/espnet_codec/egs2/mls/speechlm1/dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/q/codec_dump_ESPnet.sh >>dump_16000/raw_tts_esc_ESPnet_espnet_mls-english_soundstream_16k/esc50_train/logdir/q/codec_dump_ESPnet.log 2>&1
diff --git a/esc50_train/logdir/wav.1.scp b/esc50_train/logdir/wav.1.scp
new file mode 100644
index 0000000000000000000000000000000000000000..e8d9832271fd971c246a8fb647f9d6a8adfcbacd
--- /dev/null
+++ b/esc50_train/logdir/wav.1.scp
@@ -0,0 +1,160 @@
+2-100648-A-43 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:14
+2-100786-A-1 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:128590
+2-101676-A-10 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:186488
+2-102414-B-17 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:309578
+2-102414-C-17 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:388168
+2-102414-D-17 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:452437
+2-102414-E-17 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:508837
+2-102414-G-17 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:585085
+2-102435-A-37 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:634971
+2-102567-A-35 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:705197
+2-102567-B-35 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:825671
+2-102567-C-35 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:935334
+2-102567-D-35 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:1050732
+2-102568-A-35 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:1172014
+2-102581-A-29 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:1271663
+2-102581-B-29 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:1290524
+2-102852-A-11 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:1309177
+2-103424-A-3 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:1437362
+2-103426-A-3 dump_16000/audio_raw_tts_mls/org/train/data/format.1/data_wav.ark:1477714
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diff --git a/esc50_train/text b/esc50_train/text
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index 0000000000000000000000000000000000000000..84aeb51a1d72347b37740b2ee241cb4b83ccfa19
--- /dev/null
+++ b/esc50_train/text
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diff --git a/esc50_train/token_lists/codec_token_list b/esc50_train/token_lists/codec_token_list
new file mode 100644
index 0000000000000000000000000000000000000000..3d5876836443e4f7353e8f81ecefb829f3745b0c
--- /dev/null
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diff --git a/esc50_train/token_lists/g2p_token_list b/esc50_train/token_lists/g2p_token_list
new file mode 100644
index 0000000000000000000000000000000000000000..54384543e2f48c73c4d5a9298d8dd5d4d26b8c6c
--- /dev/null
+++ b/esc50_train/token_lists/g2p_token_list
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diff --git a/esc50_train/utt2spk b/esc50_train/utt2spk
new file mode 100644
index 0000000000000000000000000000000000000000..adc13e3e29dd04323a1e23ee2b83da541beb6eb8
--- /dev/null
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diff --git a/esc50_train/wav.scp b/esc50_train/wav.scp
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index 0000000000000000000000000000000000000000..9fdf269337e4d568a5ca850d6a16f3ce332b2ca9
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